The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/833e20fb-9863-4d0d-828a-d2ec44108e12

Yilmaz, Figen; Singh, Siddharth; Zwanenburg, Martijn; Hu, Jinlun; Stefanski, Taryn et. al. (2024): Data and code underlying the publication: Energy participation ratio analysis for very anharmonic superconducting circuits. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/833e20fb-9863-4d0d-828a-d2ec44108e12.v1

Dataset

• Quantum Physics
• Physical Sciences

energy participation ratio, fluxonium qubit, superconducting circuits

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Figen Yilmaz , Siddharth Singh , Martijn Zwanenburg , Jinlun Hu , Taryn Stefanski , Christian Kraglund Andersen

This dataset pertains to the energy participation ratio analysis for very anharmonic superconducting circuits.

• 2024-11-22 first online, published, posted

4TU.ResearchData

.hdf5, .json, .txt, .png, .svg, .ipynb, .py

• https://github.com/AndersenQubitLab/andersen-lab-pyEPR.git
• https://github.com/AndersenQubitLab/andersen-lab-qiskit-metal.git

https://doi.org/10.5281/zenodo.4618153

• Dutch Research Council (NWO)
• EPSRC QECDT studentship (grant code EP/SO23607/1)
• NWO Open Competition Science project (grant code OCENW.M.23.118.)

QuTech, Andersen Lab, Delft University of Technology